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You're reading from  Automated Machine Learning with Microsoft Azure

Product typeBook
Published inApr 2021
PublisherPackt
ISBN-139781800565319
Edition1st Edition
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Author (1)
Dennis Michael Sawyers
Dennis Michael Sawyers
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Dennis Michael Sawyers

Dennis Michael Sawyers is a senior cloud solutions architect (CSA) at Microsoft, specializing in data and AI. In his role as a CSA, he helps Fortune 500 companies leverage Microsoft Azure cloud technology to build top-class machine learning and AI solutions. Prior to his role at Microsoft, he was a data scientist at Ford Motor Company in Global Data Insight and Analytics (GDIA) and a researcher in anomaly detection at the highly regarded Carnegie Mellon Auton Lab. He received a master's degree in data analytics from Carnegie Mellon's Heinz College and a bachelor's degree from the University of Michigan. More than anything, Dennis is passionate about democratizing AI solutions through automated machine learning technology.
Read more about Dennis Michael Sawyers

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Triggering and scheduling your ML pipelines

One of the biggest problems data scientists face is creating easy, rerunnable, production-ready code and scheduling it in an automatic, reliable manner. You've already accomplished the first part by creating your three ML pipelines. Now, it's time to learn how to do the second part.

In this section, you will first learn how to manually trigger the pipelines you've created through the GUI. Then, you will learn how to trigger the pipelines via code, both manually and on an automated schedule. This will enable you to put your ML pipelines into production, generating results on an hourly, daily, weekly, or monthly basis.

Triggering your published pipeline from the GUI

Triggering your published pipeline from the AML studio GUI is easy. However, you cannot set up an automated schedule for your ML pipelines at this time. As such, it is most useful for triggering training pipelines when you notice that your results seem off...

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Automated Machine Learning with Microsoft Azure
Published in: Apr 2021Publisher: PacktISBN-13: 9781800565319

Author (1)

author image
Dennis Michael Sawyers

Dennis Michael Sawyers is a senior cloud solutions architect (CSA) at Microsoft, specializing in data and AI. In his role as a CSA, he helps Fortune 500 companies leverage Microsoft Azure cloud technology to build top-class machine learning and AI solutions. Prior to his role at Microsoft, he was a data scientist at Ford Motor Company in Global Data Insight and Analytics (GDIA) and a researcher in anomaly detection at the highly regarded Carnegie Mellon Auton Lab. He received a master's degree in data analytics from Carnegie Mellon's Heinz College and a bachelor's degree from the University of Michigan. More than anything, Dennis is passionate about democratizing AI solutions through automated machine learning technology.
Read more about Dennis Michael Sawyers